In comparison, with estimates of marginal likelihooods in hand, we can compare
any models, regardless of how different they are in terms of parameterization
or relative probability.
Alternatively, 
[1]} introduced a method of using path sampling to directly
approximate the Bayes factor between two models that can be highly
dissimilar.
Similarly, [2]} extended the stepping-stone
approach of [3]} to do the same.
